16.7.2.7.36 Rail Traffic Controls, Trains

Sun, X., Lu, H., Dong, H.,
Energy-Efficient Train Control by Multi-Train Dynamic Cooperation,
ITS(18), No. 11, November 2017, pp. 3114-3121.
IEEE DOI 1711
Energy consumption, Mathematical model, Optimization, Power supplies, Public transportation, Substations, Synchronization, Regenerative braking energy, multi-train cooperation, power supply section, speed, profile BibRef

Wu, D., Schnieder, E.,
Scenario-Based Modeling of the On-Board of a Satellite-Based Train Control System With Colored Petri Nets,
ITS(17), No. 11, November 2016, pp. 3045-3061.
IEEE DOI 1609
Analytical models BibRef

Zhao, Y., Stow, J., Harrison, C.,
Estimating the frequency of trains approaching red signals: A case study for improving the understanding of SPAD risk,
IET-ITS(10), No. 9, 2016, pp. 579-586.
DOI Link 1609
frequency estimation BibRef

Siergiejczyk, M., Pas, J., Rosinski, A.,
Issue of reliability: exploitation evaluation of electronic transport systems used in the railway environment with consideration of electromagnetic interference,
IET-ITS(10), No. 9, 2016, pp. 587-593.
DOI Link 1609
electromagnetic interference BibRef

Huang, Y., Yang, L., Tang, T., Cao, F., Gao, Z.,
Saving Energy and Improving Service Quality: Bicriteria Train Scheduling in Urban Rail Transit Systems,
ITS(17), No. 12, December 2016, pp. 3364-3379.
IEEE DOI 1612
Energy consumption BibRef

Ghosh, S., Das, A., Basak, N., Dasgupta, P., Katiyar, A.,
Formal Methods for Validation and Test Point Prioritization in Railway Signaling Logic,
ITS(18), No. 3, March 2017, pp. 678-689.
IEEE DOI 1703
Communication system signaling BibRef

Wu, Y., Weng, J., Tang, Z., Li, X., Deng, R.H.,
Vulnerabilities, Attacks, and Countermeasures in Balise-Based Train Control Systems,
ITS(18), No. 4, April 2017, pp. 814-823.
IEEE DOI 1704
Air gaps BibRef

Zhu, T., Mera Sánchez de Pedro, J.M.,
Railway Traffic Conflict Detection via a State Transition Prediction Approach,
ITS(18), No. 5, May 2017, pp. 1268-1278.
IEEE DOI 1705
Analytical models, Delays, Mathematical model, Rail transportation, Real-time systems, Safety, Tracking, Conflict detection, dynamic environment, railway traffic management, state transition map, traffic, prediction BibRef

Li, S.[Sihui], Cai, B.G.[Bai-Gen], Wei, S.G.[Shang-Guan], Schnieder, E.[Eckehard], Toro, F.G.[Federico Grasso],
Switching LDS detection for GNSS-based train integrity monitoring system,
IET-ITS(11), No. 5, June 2017, pp. 299-307.
DOI Link 1705
BibRef

Zhao, N.[Ning], Chen, L.[Lei], Tian, Z.[Zhongbei], Roberts, C.[Clive], Hillmansen, S.[Stuart], Lv, J.[Jidong],
Field test of train trajectory optimisation on a metro line,
IET-ITS(11), No. 5, June 2017, pp. 273-281.
DOI Link 1705
BibRef

Liu, W.R.[Wei-Rong], Wang, D.Y.[Dong-Yang], Gao, K.[Kai], Huang, Z.W.[Zhi-Wu],
Design of distributed cooperative observer for heavy-haul train with unknown displacement,
IET-ITS(11), No. 4, May 2017, pp. 239-247.
DOI Link 1705
BibRef

Zhu, L., Yu, F.R., Tang, T., Ning, B.,
Handoff Performance Improvements in an Integrated Train-Ground Communication System Based on Wireless Network Virtualization,
ITS(18), No. 5, May 2017, pp. 1165-1178.
IEEE DOI 1705
Delays, Optimization, Quality of service, Rails, Virtualization, Wireless networks, Urban rail transit, handoff, train control, wireless, network, virtualization BibRef

Liu, J., Guo, H., Yu, Y.,
Research on the Cooperative Train Control Strategy to Reduce Energy Consumption,
ITS(18), No. 5, May 2017, pp. 1134-1142.
IEEE DOI 1705
Acceleration, Energy consumption, Force, Optimization, Public transportation, Rails, Energy-saving operation, cooperative train control, regenerative braking, subway, train BibRef

Nguyen, K.T.P., Beugin, J., Berbineau, M., Kassab, M.,
A New Analytical Approach to Evaluate the Critical-Event Probability Due to Wireless Communication Errors in Train Control Systems,
ITS(18), No. 6, June 2017, pp. 1380-1392.
IEEE DOI 1706
Delays, Handover, Optical wavelength conversion, Rail transportation, Safety, Wireless communication, Rail transportation communication, intelligent transportation systems, probabilistic model, rail transportation reliability, wireless, communication, errors BibRef

Gao, M., Wang, P., Cao, Y., Chen, R., Cai, D.,
Design and Verification of a Rail-Borne Energy Harvester for Powering Wireless Sensor Networks in the Railway Industry,
ITS(18), No. 6, June 2017, pp. 1596-1609.
IEEE DOI 1706
Electromagnetics, Rail transportation, Rails, Testing, Vehicles, Vibrations, Wireless sensor networks, Energy harvester, electromagnetics, rail-borne device, railway vibration, wheelset/track excitation, wireless, sensor, networks BibRef

Ahmadi, S.[Saeed], Dastfan, A.[Ali], Assili, M.[Mohsen],
Improving energy-efficient train operation in urban railways: employing the variation of regenerative energy recovery rate,
IET-ITS(11), No. 6, August 2017, pp. 349-357.
DOI Link 1707
BibRef

Wandelt, S., Wang, Z., Sun, X.,
Worldwide Railway Skeleton Network: Extraction Methodology and Preliminary Analysis,
ITS(18), No. 8, August 2017, pp. 2206-2216.
IEEE DOI 1708
Data mining, Estimation, Planets, Rail transportation, Skeleton, Urban areas, OpenStreetMap, Worldwide railway network, global, mobility BibRef

Liu, Y., Neri, A., Ruggeri, A., Vegni, A.M.,
A MPTCP-Based Network Architecture for Intelligent Train Control and Traffic Management Operations,
ITS(18), No. 9, September 2017, pp. 2290-2302.
IEEE DOI 1709
control engineering computing, intelligent control, quality of service, rail traffic control, railway communication, traffic engineering computing, transport protocols, MPTCP-based network architecture, QoS, add and drop subflow policies, communication system architecture, data control, multipath transmission control protocol, priority handling logics, public land mobile networks, quality-of-service, traffic management operations, Long Term Evolution, Network architecture, Satellite broadcasting, Satellites, ERTMS/ETCS, MPTCP, PLMNs. BibRef

Arboleya, P.,
Heterogeneous Multiscale Method for Multirate Railway Traction Systems Analysis,
ITS(18), No. 9, September 2017, pp. 2575-2580.
IEEE DOI 1709
mechanical variables, Hidden Markov models, heterogeneous multiscale method, multirate analysis, BibRef

Marais, J., Beugin, J., Berbineau, M.,
A Survey of GNSS-Based Research and Developments for the European Railway Signaling,
ITS(18), No. 10, October 2017, pp. 2602-2618.
IEEE DOI 1710
Rail transportation, Safety, Localization, railway safety, signaling BibRef

Ghazel, M.,
A Control Scheme for Automatic Level Crossings Under the ERTMS/ETCS Level 2/3 Operation,
ITS(18), No. 10, October 2017, pp. 2667-2680.
IEEE DOI 1710
Context, Control systems, Rail transportation, Roads, Safety, ERTMS/ETCS, GSM-R, Level crossing, formal methods, railway control, railway safety, time, Petri, net BibRef

de Aguiar, E.P.[Eduardo P.], de A. Nogueira, F.M.[Fernando M.], Vellasco, M.M.B.R.[Marley M.B.R.], Ribeiro, M.V.[Moisés V.],
Set-Membership Type-1 Fuzzy Logic System Applied to Fault Classification in a Switch Machine,
ITS(18), No. 10, October 2017, pp. 2703-2712.
IEEE DOI 1710
Computational complexity, Convergence, Fuzzy logic, Monitoring, Rail transportation, Switches, Training, Fuzzy logic systems, adaptive algorithms, computational complexity reduction, set-membership BibRef

Eaton, J., Yang, S., Gongora, M.,
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling,
ITS(18), No. 11, November 2017, pp. 2980-2992.
IEEE DOI 1711
Delays, Dynamic scheduling, Energy consumption, Heuristic algorithms, Junctions, Linear programming, Rail transportation, Train rescheduling, U.K. railway network, ant colony optimisation, dynamic multi-objective optimization, rail, transportation BibRef

Hua, W.[Wen], Ong, G.P.[Ghim Ping],
Network survivability and recoverability in urban rail transit systems under disruption,
IET-ITS(11), No. 10, December 2017, pp. 641-648.
DOI Link 1711
BibRef

Carboni, A.[Angela], Deflorio, F.[Francesco],
Performance indicators and automatic identification systems in inland freight terminals for intermodal transport,
IET-ITS(12), No. 4, May 2018, pp. 309-318.
DOI Link 1804
BibRef

Liu, F.B.[Feng-Bo], Xu, R.H.[Rui-Hua], Fan, W.[Wei], Jiang, Z.B.[Zhi-Bin],
Data analytics approach for train timetable performance measures using automatic train supervision data,
IET-ITS(12), No. 7, September 2018, pp. 568-577.
DOI Link 1808
BibRef

Zheng, H.[Han], Cui, Z.Y.[Zan-Yang], Zhang, X.C.[Xing-Chen],
Identifying Modes of Driving Railway Trains from GPS Trajectory Data: An Ensemble Classifier-Based Approach,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Huang, Y.P.[Ya-Ping], Lu, S.W.[Shi-Wei], Yang, X.P.[Xi-Ping], Zhao, Z.Y.[Zhi-Yuan],
Exploring Railway Network Dynamics in China from 2008 to 2017,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Feng, F.L.[Fen-Ling], Li, W.[Wan], Jiang, Q.W.[Qi-Wei],
Railway freight volume forecast using an ensemble model with optimised deep belief network,
IET-ITS(12), No. 8, October 2018, pp. 851-859.
DOI Link 1809
BibRef

Ferlin, A., Qiu, S., Bon, P., Sallak, M., Collart Dutilleul, S., Schön, W., Cherfi-Boulanger, Z.,
An Automated Method for the Study of Human Reliability in Railway Supervision Systems,
ITS(19), No. 10, October 2018, pp. 3360-3375.
IEEE DOI 1810
Reliability, Task analysis, Rail transportation, Context modeling, Accidents, Analytical models, Human factors, railway/ERTMS BibRef

Liu, P., Yang, L., Gao, Z., Huang, Y., Li, S., Gao, Y.,
Energy-Efficient Train Timetable Optimization in the Subway System with Energy Storage Devices,
ITS(19), No. 12, December 2018, pp. 3947-3963.
IEEE DOI 1812
Acceleration, Public transportation, Energy consumption, Optimization, Linear programming, Supercapacitors, Subway system, regenerative braking energy BibRef

Becker, M., Schreckenberg, M.,
Analytical Method for the Precise and Fast Prediction of Railway Running Times and its Applications,
ITS(19), No. 11, November 2018, pp. 3560-3569.
IEEE DOI 1812
railways, standard commuter train, railway management, railway running time prediction, rail transportation BibRef

Khayyam, S., Berr, N., Razik, L., Fleck, M., Ponci, F., Monti, A.,
Railway System Energy Management Optimization Demonstrated at Offline and Online Case Studies,
ITS(19), No. 11, November 2018, pp. 3570-3583.
IEEE DOI 1812
energy consumption, energy management systems, optimisation, railway electrification, integrated mainline railway system, smart grids BibRef

Yuan, Z., Chen, X., Liu, J., Yu, Y., Sun, H., Zhou, T., Jin, Z.,
Simplifying the Formal Verification of Safety Requirements in Zone Controllers Through Problem Frames and Constraint-Based Projection,
ITS(19), No. 11, November 2018, pp. 3517-3528.
IEEE DOI 1812
control engineering computing, formal verification, rail traffic control, railway safety, formal verification BibRef

Goya, J., de Miguel, G., Arrizabalaga, S., Zamora-Cadenas, L., Adin, I., Mendizabal, J.,
Methodology and Key Performance Indicators (KPIs) for Railway On-Board Positioning Systems,
ITS(19), No. 12, December 2018, pp. 4035-4042.
IEEE DOI 1812
Global navigation satellite system, Rail transportation, Standardization, Random access memory, Safety, Europe, Reliability, on-board position BibRef

Zhang, X., Ludwig, A., Sood, N., Sarris, C.D.,
Physics-Based Optimization of Access Point Placement for Train Communication Systems,
ITS(19), No. 9, September 2018, pp. 3028-3038.
IEEE DOI 1809
Cost function, Receivers, Mathematical model, Wireless communication, Rails, wireless access point BibRef

Hwang, K., Cho, J., Park, J., Har, D., Ahn, S.,
Ferrite Position Identification System Operating With Wireless Power Transfer for Intelligent Train Position Detection,
ITS(20), No. 1, January 2019, pp. 374-382.
IEEE DOI 1901
Ferrites, Rail transportation, Magnetic cores, Insulation life, Degradation, Detectors, Wheels, Wireless power transfer (WPT), ferrite device BibRef

Meng, J., Xu, R., Li, D., Chen, X.,
Combining the Matter-Element Model With the Associated Function of Performance Indices for Automatic Train Operation Algorithm,
ITS(20), No. 1, January 2019, pp. 253-263.
IEEE DOI 1901
Optimization, Process control, Safety, Intelligent control, PI control, PD control, Automatic train operation, performance indices BibRef

Sun, H., Wu, J., Ma, H., Yang, X., Gao, Z.,
A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume,
ITS(20), No. 2, February 2019, pp. 604-615.
IEEE DOI 1902
Energy consumption, Optimization, Rails, Numerical models, Safety, Sun, Rail transportation, Timetable, passenger waiting time, AFC data BibRef

Khadilkar, H.,
A Scalable Reinforcement Learning Algorithm for Scheduling Railway Lines,
ITS(20), No. 2, February 2019, pp. 727-736.
IEEE DOI 1902
Rail transportation, Tracking, Learning (artificial intelligence), Delays, Processor scheduling, rail transportation BibRef

Song, H.F.[Hai-Feng], Schnieder, E.[Eckehard],
Development and Validation of a Distance Measurement System in Metro Lines,
ITS(20), No. 2, February 2019, pp. 441-456.
IEEE DOI 1902
Train-to-train distance. Unified modeling language, Software, Distance measurement, Analytical models, Safety, Petri nets, Metro transport, model validation BibRef

Li, S., Yang, L., Gao, Z.,
Efficient Real-Time Control Design for Automatic Train Regulation of Metro Loop Lines,
ITS(20), No. 2, February 2019, pp. 485-496.
IEEE DOI 1902
Real-time systems, Mathematical model, Optimal control, Safety, Predictive control, Quadratic programming, Metro loop lines, quadratic programming BibRef

Yazhemsky, D., Rashid, M., Sirouspour, S.,
An On-Line Optimal Controller for a Commuter Train,
ITS(20), No. 3, March 2019, pp. 1112-1125.
IEEE DOI 1903
Optimal control, Real-time systems, Optimization, Computational modeling, Numerical models, Vehicle dynamics, sparse optimization BibRef

Zou, L., Wen, T., Wang, Z., Chen, L., Roberts, C.,
State Estimation for Communication-Based Train Control Systems With CSMA Protocol,
ITS(20), No. 3, March 2019, pp. 843-854.
IEEE DOI 1903
Protocols, Multiaccess communication, State estimation, Control systems, Wireless communication, Scheduling, linear matrix inequalities BibRef

Zhang, Y., Wang, H., Yuan, T., Lv, J., Xu, T.,
Hybrid Online Safety Observer for CTCS-3 Train Control System On-Board Equipment,
ITS(20), No. 3, March 2019, pp. 925-934.
IEEE DOI 1903
Safety, Brakes, Monitoring, Observers, Rail transportation, Runtime, CTCS-3, on-board equipment, reachability analysis, safety, online verification BibRef

Song, H., Liu, H., Schnieder, E.,
A Train-Centric Communication-Based New Movement Authority Proposal for ETCS-2,
ITS(20), No. 6, June 2019, pp. 2328-2338.
IEEE DOI 1906
Safety, Switches, Rail transportation, Accidents, Tracking, Estimation, Movement authority, European Train Control System (ETCS), minimum train headway distance BibRef

Novak, H., Lešic, V., Vašak, M.,
Hierarchical Model Predictive Control for Coordinated Electric Railway Traction System Energy Management,
ITS(20), No. 7, July 2019, pp. 2715-2727.
IEEE DOI 1907
Rail transportation, Energy consumption, Optimization, Force, Resistance, Energy management, Power grids, hierarchical model predictive control BibRef

Felez, J., Kim, Y., Borrelli, F.,
A Model Predictive Control Approach for Virtual Coupling in Railways,
ITS(20), No. 7, July 2019, pp. 2728-2739.
IEEE DOI 1907
Couplings, Rail transportation, Control systems, Aerodynamics, Safety, Predictive control, CBTC, ERTMS, virtual coupling BibRef

Tian, Z., Zhao, N., Hillmansen, S., Roberts, C., Dowens, T., Kerr, C.,
SmartDrive: Traction Energy Optimization and Applications in Rail Systems,
ITS(20), No. 7, July 2019, pp. 2764-2773.
IEEE DOI 1907
Optimization, Rails, Rail transportation, Vehicles, Energy consumption, Trajectory, Genetic algorithms, driver practical training BibRef

Wen, T., Constantinou, C., Chen, L., Li, Z., Roberts, C.,
A Practical Access Point Deployment Optimization Strategy in Communication-Based Train Control Systems,
ITS(20), No. 8, August 2019, pp. 3156-3167.
IEEE DOI 1908
Planning, Wireless communication, Wireless LAN, Optimization, Power system reliability, Probability, Shadow mapping, integrated simulation platform BibRef

Zheng, H.[Han], Cui, Z.Y.[Zan-Yang], Zhang, X.C.[Xing-Chen],
Automatic Discovery of Railway Train Driving Modes Using Unsupervised Deep Learning,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Umiliacchi, S.[Silvia], Bhatia, D.[Davinder], Brownlee, A.[Andrew], Brown, C.[Colin],
Enterprise architecture within railway systems engineering,
IET-ITS(13), No. 10, October 2019, pp. 1461-1467.
DOI Link 1909
BibRef

Liu, J.[Jin], Chen, L.[Lei], Roberts, C.[Clive], Nicholson, G.[Gemma], Ai, B.[Bo],
Algorithm and peer-to-peer negotiation strategies for train dispatching problems in railway bottleneck sections,
IET-ITS(13), No. 11, November 2019, pp. 1717-1725.
DOI Link 1911
BibRef

Wu, C., Zhang, W., Lu, S., Tan, Z., Xue, F., Yang, J.,
Train Speed Trajectory Optimization With On-Board Energy Storage Device,
ITS(20), No. 11, November 2019, pp. 4092-4102.
IEEE DOI 1911
Electrostatic discharges, Traction motors, Trajectory, Energy storage, Rail transportation, Acceleration, on-board energy storage device (ESD) BibRef

Zhang, Y.[Yong], Wang, H.F.[Hai-Feng],
Topological manifold-based monitoring method for train-centric virtual coupling control systems,
IET-ITS(14), No. 2, February 2020, pp. 91-102.
DOI Link 2002
BibRef

Zhang, Y.[Yong], Wang, H.F.[Hai-Feng], James, P.[Phillip], Roggenbach, M.[Markus], Tian, D.X.[Da-Xin],
A Train Protection Logic Based on Topological Manifolds for Virtual Coupling,
ITS(23), No. 8, August 2022, pp. 11930-11945.
IEEE DOI 2208
Couplings, Control systems, Safety, Rail transportation, Manifolds, Tracking, Process control, Virtual coupling control, formal verification BibRef

Saki, M., Abolhasan, M., Lipman, J.,
A Novel Approach for Big Data Classification and Transportation in Rail Networks,
ITS(21), No. 3, March 2020, pp. 1239-1249.
IEEE DOI 2003
Rail transportation, Data communication, Rails, Big Data, Real-time systems, Data analysis, Railway condition monitoring, online data classification BibRef

Xu, Z., Zhang, Q., Chen, D., He, Y.,
Characterizing the Connectivity of Railway Networks,
ITS(21), No. 4, April 2020, pp. 1491-1502.
IEEE DOI 2004
Rail transportation, Measurement, Urban areas, Roads, Rails, Complex network, railway systems, simulation BibRef

Bai, Y., Cao, Y., Yu, Z., Ho, T.K., Roberts, C., Mao, B.,
Cooperative Control of Metro Trains to Minimize Net Energy Consumption,
ITS(21), No. 5, May 2020, pp. 2063-2077.
IEEE DOI 2005
Energy consumption, Optimization, Optimal control, Delays, Switches, Energy storage, Metro train, cooperative control, energy saving, co-evolutionary algorithm BibRef

Muniandi, G.[Ganesan],
Blockchain-enabled virtual coupling of automatic train operation fitted mainline trains for railway traffic conflict control,
IET-ITS(14), No. 6, June 2020, pp. 611-619.
DOI Link 2005
BibRef

Hamid, H.A.[Hassan Abdulsalam], Nicholson, G.L.[Gemma L.], Roberts, C.[Clive],
Impact of train positioning inaccuracies on railway traffic management systems: framework development and impacts on TMS functions,
IET-ITS(14), No. 6, June 2020, pp. 534-544.
DOI Link 2005
BibRef

Guilliard, I.[Iain], Trevizan, F.[Felipe], Sanner, S.[Scott],
Mitigating the impact of light rail on urban traffic networks using mixed-integer linear programming,
IET-ITS(14), No. 6, June 2020, pp. 523-533.
DOI Link 2005
BibRef

Ai, B., Molisch, A.F., Rupp, M., Zhong, Z.,
5G Key Technologies for Smart Railways,
PIEEE(108), No. 6, June 2020, pp. 856-893.
IEEE DOI 2006
5G mobile communication, Rail transportation, Wireless communication, Artificial intelligence, ultrareliable low latency communication (URLLC) BibRef

di Meo, C., di Vaio, M., Flammini, F., Nardone, R., Santini, S., Vittorini, V.,
ERTMS/ETCS Virtual Coupling: Proof of Concept and Numerical Analysis,
ITS(21), No. 6, June 2020, pp. 2545-2556.
IEEE DOI 2006
Couplings, Safety, Europe, Numerical analysis, Reliability, Block signalling, Railways, ERTMS/ETCS, automatic train control, numerical analysis BibRef

Ji, Y., Tang, Y., Shen, Y., Du, Y., Wang, W.,
An Integrated Approach for Tram Prioritization in Signalized Corridors,
ITS(21), No. 6, June 2020, pp. 2386-2395.
IEEE DOI 2006
Bandwidth, Timing, Reliability, Schedules, Real-time systems, Trajectory, Intelligent transportation systems, Tram, microsimulation BibRef

López Díez, P., Gabilondo, I., Alarcón, E., Moll, F.,
Mechanical Energy Harvesting Taxonomy for Industrial Environments: Application to the Railway Industry,
ITS(21), No. 7, July 2020, pp. 2696-2706.
IEEE DOI 2007
Magnetic domains, Magnetostriction, Amorphous magnetic materials, Energy harvesting, Mechanical energy, Industries, railway industry BibRef

Jin, B.[Bo], Sun, P.F.[Peng-Fei], Wang, Q.Y.[Qing-Yuan], Feng, X.Y.[Xiao-Yun],
Two-step method to reduce metro transit energy consumption by optimising speed profile and timetable,
IET-ITS(14), No. 9, September 2020, pp. 1097-1107.
DOI Link 2008
BibRef

Mo, P., Yang, L., d'Ariano, A., Yin, J., Yao, Y., Gao, Z.,
Energy-Efficient Train Scheduling and Rolling Stock Circulation Planning in a Metro Line: A Linear Programming Approach,
ITS(21), No. 9, September 2020, pp. 3621-3633.
IEEE DOI 2008
Schedules, Load modeling, Dynamic scheduling, Numerical models, Energy consumption, Optimization, Metro train scheduling, dynamic passenger demands BibRef

Ghasempour, T., Nicholson, G.L., Kirkwood, D., Fujiyama, T., Heydecker, B.,
Distributed Approximate Dynamic Control for Traffic Management of Busy Railway Networks,
ITS(21), No. 9, September 2020, pp. 3788-3798.
IEEE DOI 2008
Rail transportation, Real-time systems, Delays, Dynamic programming, Rails, Aerospace electronics, Tools, reinforcement learning BibRef

Su, S., Wang, X., Cao, Y., Yin, J.,
An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving,
ITS(21), No. 10, October 2020, pp. 4252-4268.
IEEE DOI 2010
Energy consumption, Optimization, Acceleration, Switches, Dynamic programming, Rails, Mathematical model, regenerative energy BibRef

Wang, X., Liu, L., Zhu, L., Tang, T.,
Train-Centric CBTC Meets Age of Information in Train-to-Train Communications,
ITS(21), No. 10, October 2020, pp. 4072-4085.
IEEE DOI 2010
Wireless communication, Rails, Quality of service, Control systems, Public transportation, Resource management, Wireless LAN, DS-SPS BibRef

Liu, J., Zhang, Y., Han, J., He, J., Sun, J., Zhou, T.,
Intelligent Hazard-Risk Prediction Model for Train Control Systems,
ITS(21), No. 11, November 2020, pp. 4693-4704.
IEEE DOI 2011
Predictive models, Hazards, Control systems, Rails, Neural networks, Systems architecture, Risk prediction, deep learning, statistical model checking BibRef

Zhang, Q.[Qi], Wang, T.[Tao], Huang, K.[Kang], Chen, F.[Feng],
Efficient dispatching system of railway vehicles based on internet of things technology,
PRL(143), 2021, pp. 14-18.
Elsevier DOI 2102
Vehicle dispatching system, Internet of things technology, Information management, Transportation management, Railway transportation BibRef

Pichlík, P., Bauer, J.,
Analysis of the Locomotive Wheel Slip Controller Operation During Low Velocity,
ITS(22), No. 3, March 2021, pp. 1543-1552.
IEEE DOI 2103
Adhesives, Wheels, Force, Velocity measurement, Rails, Estimation, Kalman filters, Adhesion, digital control, unscented Kalman filter, velocity control BibRef

Liu, G.F.[Gen-Feng], Hou, Z.S.[Zhong-Sheng],
Adaptive Iterative Learning Control for Subway Trains Using Multiple-Point-Mass Dynamic Model Under Speed Constraint,
ITS(22), No. 3, March 2021, pp. 1388-1400.
IEEE DOI 2103
Public transportation, Vehicle dynamics, Adaptation models, Iterative learning control, Heuristic algorithms, Resistance, barrier composite energy function (BCEF) BibRef

Liu, G.F.[Gen-Feng], Hou, Z.S.[Zhong-Sheng],
Cooperative Adaptive Iterative Learning Fault-Tolerant Control Scheme for Multiple Subway Trains,
Cyber(52), No. 2, February 2022, pp. 1098-1111.
IEEE DOI 2202
Public transportation, Actuators, Vehicle dynamics, Heuristic algorithms, Adaptation models, Fault tolerance, radial basis function neural network (RBFNN) BibRef

Luo, P., Li, Q., Zhou, Y., Ma, Q., Zhang, Y., Peng, Y., Sun, J.,
Multi-Application Strategy Based on Railway Static Power Conditioner With Energy Storage System,
ITS(22), No. 4, April 2021, pp. 2140-2152.
IEEE DOI 2104
Rail transportation, Economics, Energy storage, Traction power supplies, Maintenance engineering, Load modeling, multi-application strategy BibRef

Schanzenbächer, F.[Florian], Farhi, N.[Nadir], Leurent, F.[Fabien], Gabriel, G.[Gérard],
Feedback Control for Metro Lines With a Junction,
ITS(22), No. 5, May 2021, pp. 2741-2750.
IEEE DOI 2105
Junctions, Feedback control, Mathematical model, Frequency control, Rail transportation, Time-frequency analysis, Physics. BibRef

Huang, S.Z.[Shi-Ze], Yang, L.Y.[Ling-Yu], Chen, W.[Wei], Tao, T.[Ting], Zhang, B.J.[Bing-Jie],
A specific perspective: Subway driver behaviour recognition using CNN and time-series diagram,
IET-ITS(15), No. 3, 2021, pp. 387-395.
DOI Link 2106
BibRef

Ying, P.R.[Pei-Ran], Zeng, X.Q.[Xiao-Qing], Song, H.F.[Hai-Feng], Shen, T.[Tuo], Yuan, T.F.[Teng-Fei],
Energy-efficient train operation with steep track and speed limits: A novel Pontryagin's maximum principle-based approach for adjoint variable discontinuity cases,
IET-ITS(15), No. 9, 2021, pp. 1183-1202.
DOI Link 2108
BibRef

Dong, H.X.[Han-Xuan], Ding, F.[Fan], Tan, H.C.[Hua-Chun], Wu, Y.K.[Yuan-Kai], Li, Q.[Qin], Ran, B.[Bin],
Rail transit OD-matrix completion via manifold regularized tensor factorisation,
IET-ITS(15), No. 10, 2021, pp. 1304-1317.
DOI Link 2109
BibRef

Grandhi, B.S.[Bhagya Shrithi], Chaniotakis, E.[Emmanouil], Thomann, S.[Stephan], Laube, F.[Felix], Antoniou, C.[Constantinos],
An estimation framework to quantify railway disruption parameters,
IET-ITS(15), No. 10, 2021, pp. 1256-1268.
DOI Link 2109
BibRef

Zhou, P.[Ping], Chen, L.F.[Le-Fang], Dai, X.W.[Xue-Wu], Li, B.X.[Bao-Xu], Chai, T.Y.[Tian-You],
Intelligent Prediction of Train Delay Changes and Propagation Using RVFLNs With Improved Transfer Learning and Ensemble Learning,
ITS(22), No. 12, December 2021, pp. 7432-7444.
IEEE DOI 2112
Delays, Rail transportation, Predictive models, Data models, Dispatching, Stacking, Prediction algorithms, Train delays, RVFLNs BibRef

Yuan, Z.M.[Zhi-Ming], Yan, L.[Lu], Gao, Y.[Ying], Zhang, T.[Tao], Gao, S.[Shigen],
Virtual Parameter Learning-Based Adaptive Control for Protective Automatic Train Operation,
ITS(22), No. 12, December 2021, pp. 7943-7954.
IEEE DOI 2112
Rail transportation, Adaptive control, Resistance, Mathematical model, Target tracking, Real-time systems, learning based adaptive control BibRef

Albrecht, A.[Amie], Howlett, P.[Phil], Pudney, P.[Peter],
Optimal Driving Strategies for Two Successive Trains on Level Track With Safe Separation,
ITS(23), No. 1, January 2022, pp. 280-295.
IEEE DOI 2201
Australia, Schedules, Indexes, Standards, Time factors, Fuels, Intelligent transportation systems, Train control, optimal driving strategies BibRef

Leng, K.J.[Kai-Jun], Li, S.H.[Shang-Hong],
Distribution Path Optimization for Intelligent Logistics Vehicles of Urban Rail Transportation Using VRP Optimization Model,
ITS(23), No. 2, February 2022, pp. 1661-1669.
IEEE DOI 2202
Logistics, Optimization, Transportation, Rail transportation, Rails, Mathematical model, Routing, Vehicle routing problem, immune algorithm particle swarm optimization (IAPSO) BibRef

Rao, Y.[Yu], Feng, X.Y.[Xiao-Yun], Wang, Q.Y.[Qing-Yuan], Sun, P.F.[Peng-Fei], Xiao, Z.[Zhuang], Chen, H.H.[Hong-Hui],
Energy-efficient control of a train considering multi-trains power flow,
IET-ITS(16), No. 3, 2022, pp. 380-393.
DOI Link 2202
BibRef

Rao, Y.[Yu], Sun, P.F.[Peng-Fei], Wang, Q.Y.[Qing-Yuan], Feng, X.Y.[Xiao-Yun], Wang, C.[Chuanru], Wei, M.[Mi],
Energy-efficient train control considering the traction system efficiency,
IET-ITS(16), No. 11, 2022, pp. 1633-1647.
DOI Link 2210
BibRef

Wen, T.[Tao], Xie, G.[Guo], Cao, Y.[Yuan], Cai, B.[Baigen],
A DNN-Based Channel Model for Network Planning in Train Control Systems,
ITS(23), No. 3, March 2022, pp. 2392-2399.
IEEE DOI 2203
Wireless communication, Control systems, Optimization, Planning, Channel models, Probability, Power system reliability, DNN BibRef

Deng, L.[Lianbo], Jing, E.[Enwei], Xu, J.[Jing], Chen, C.[Chen],
The accumulation cost of relaxed fixed time accumulation mode,
IET-ITS(16), No. 4, 2022, pp. 445-458.
DOI Link 2203
BibRef

Rao, Y.[Yu], Sun, P.F.[Peng-Fei], Wang, Q.Y.[Qing-Yuan], Bai, B.[Baoxue], Feng, X.Y.[Xiao-Yun],
Optimal running time supplement for the energy-efficient train control considering the section running time constraint,
IET-ITS(16), No. 5, 2022, pp. 661-674.
DOI Link 2204
BibRef

Cii, S.[Stefano], Tomasini, G.[Gisella], Bacci, M.L.[Maria Laura], Tarsitano, D.[Davide],
Solar Wireless Sensor Nodes for Condition Monitoring of Freight Trains,
ITS(23), No. 5, May 2022, pp. 3995-4007.
IEEE DOI 2205
Wireless sensor networks, Wireless communication, Monitoring, Batteries, Temperature sensors, Temperature measurement, Rails, on-field tests BibRef

Wang, Z.Y.[Zhang-Yu], Yu, G.Z.[Gui-Zhen], Zhou, B.[Bin], Wang, P.C.[Peng-Cheng], Wu, X.[Xinkai],
A Train Positioning Method Based-On Vision and Millimeter-Wave Radar Data Fusion,
ITS(23), No. 5, May 2022, pp. 4603-4613.
IEEE DOI 2205
Feature extraction, Rail transportation, Millimeter wave radar, Databases, Sensor fusion, Radar tracking, millimeter-wave radar BibRef

Vujanic, R.[Robin], Hill, A.J.[Andrew J.],
Computationally Efficient Dynamic Traffic Optimization of Railway Systems,
ITS(23), No. 5, May 2022, pp. 4706-4719.
IEEE DOI 2205
Optimization, Rail transportation, Computational modeling, System recovery, Schedules, Numerical models, Robots, railway systems BibRef

Arboleya, P.[Pablo], Mayet, C.[Clément], Bouscayrol, A.[Alain], Mohamed, B.[Bassam], Delarue, P.[Philippe], El-Sayed, I.[Islam],
Electrical Railway Dynamical Versus Static Models for Infrastructure Planning and Operation,
ITS(23), No. 6, June 2022, pp. 5514-5525.
IEEE DOI 2206
Computational modeling, Rail transportation, Substations, Voltage control, Analytical models, Estimation, dc traction networks BibRef

Ju, Y.[Yanni], Yuan, H.H.[Hai-Hua], Li, Z.P.[Zong-Ping], Gan, M.[Mi], Chen, Y.F.[Yu-Fan],
Multilayer structures and resilience evaluation for multimode regional rail transit system,
IET-ITS(16), No. 7, 2022, pp. 843-859.
DOI Link 2206
BibRef

Wang, K.M.[Ke-Ming], Wang, X.[Xia], Wang, Z.[Zheng], Wu, G.F.[Guan-Feng], Xu, Y.[Yang],
Logical consistency verification of state sensing in safety-critical decision: A case study of train routing selection,
IET-ITS(16), No. 8, 2022, pp. 1042-1057.
DOI Link 2207
BibRef

Ying, C.S.[Cheng-Shuo], Chow, A.H.F.[Andy H. F.], Wang, Y.H.[Yi-Hui], Chin, K.S.[Kwai-Sang],
Adaptive Metro Service Schedule and Train Composition With a Proximal Policy Optimization Approach Based on Deep Reinforcement Learning,
ITS(23), No. 7, July 2022, pp. 6895-6906.
IEEE DOI 2207
Schedules, Scheduling, Dynamic scheduling, Training, Urban areas, Reinforcement learning, Processor scheduling, proximal policy optimization BibRef

Wu, D.[Daohua], Lu, D.[Debiao], Tang, T.[Tao],
Qualitative and Quantitative Safety Evaluation of Train Control Systems (CTCS) With Stochastic Colored Petri Nets,
ITS(23), No. 8, August 2022, pp. 10223-10238.
IEEE DOI 2208
Control systems, Analytical models, Unified modeling language, Petri nets, Numerical models, Data models, Rail transportation, CTCS, Coloured Petri Nets BibRef

Luo, J.C.[Jian-Chao], Zhou, M.C.[Meng-Chu], Wang, J.Q.[Jun-Qiang],
A Place-Timed Petri Net-Based Method to Avoid Deadlock and Conflict in Railway Networks,
ITS(23), No. 8, August 2022, pp. 10763-10772.
IEEE DOI 2208
Rail transportation, System recovery, Sensors, Safety, Petri nets, Layout, Schedules, Railway network, Petri net (PN), safety BibRef

Xu, K.[Kai], Tu, Y.C.[Yong-Chao], Xu, W.X.[Wen-Xuan], Wu, S.[Shixun],
Intelligent train operation based on deep learning from excellent driver manipulation patterns,
IET-ITS(16), No. 9, 2022, pp. 1177-1192.
DOI Link 2208
BibRef

Zhang, B.J.[Bing-Jie], Huang, S.[Shize], Zhang, L.[Lei], Liu, X.W.[Xiao-Wen], Song, G.Q.[Guan-Qun], Qin, J.Z.[Jin-Zhe], Li, M.[Man],
Method of railway shunting operation sheet information extraction guided by table header,
IET-ITS(16), No. 10, 2022, pp. 1391-1403.
DOI Link 2209
BibRef

Bešinovic, N.[Nikola], de Donato, L.[Lorenzo], Flammini, F.[Francesco], Goverde, R.M.P.[Rob M. P.], Lin, Z.Y.[Zhi-Yuan], Liu, R.H.[Rong-Hui], Marrone, S.[Stefano], Nardone, R.[Roberto], Tang, T.L.[Tian-Li], Vittorini, V.[Valeria],
Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications,
ITS(23), No. 9, September 2022, pp. 14011-14024.
IEEE DOI 2209
Rail transportation, Artificial intelligence, Taxonomy, Rails, Maintenance engineering, Software, Safety, Artificial intelligence, predictive maintenance BibRef

Huang, P.[Ping], Spanninger, T.[Thomas], Corman, F.[Francesco],
Enhancing the Understanding of Train Delays With Delay Evolution Pattern Discovery: A Clustering and Bayesian Network Approach,
ITS(23), No. 9, September 2022, pp. 15367-15381.
IEEE DOI 2209
Delays, Predictive models, Markov processes, Data models, Bayes methods, Rail transportation, Clustering algorithms, Bayesian network BibRef

Wang, P.L.[Peng-Ling], Bešinovic, N.[Nikola], Goverde, R.M.P.[Rob M. P.], Corman, F.[Francesco],
Improving the Utilization of Regenerative Energy and Shaving Power Peaks by Railway Timetable Adjustment,
ITS(23), No. 9, September 2022, pp. 15742-15754.
IEEE DOI 2209
Rail transportation, Robustness, Synchronization, Optimization, Energy consumption, Delays, Planning, Railway timetabling, power peak shaving BibRef

Yang, S.P.[Song-Po], Liao, F.X.[Fei-Xiong], Wu, J.J.[Jian-Jun], Chen, Y.Y.[Yan-Yan],
An Efficient Train Timetable Scheduling Approach With Regenerative-Energy Supplementation Strategy Responding to Potential Power Interruptions,
ITS(23), No. 9, September 2022, pp. 14267-14282.
IEEE DOI 2209
Substations, Optimization, Reliability, Energy consumption, Safety, Heuristic algorithms, Genetic algorithms, multi-objective optimization BibRef

Deleplanque, S.[Samuel], Hosteins, P.[Pierre], Pellegrini, P.[Paola], Rodriguez, J.[Joaquin],
Train management in freight shunting yards: Formalisation and literature review,
IET-ITS(16), No. 10, 2022, pp. 1286-1305.
DOI Link 2209
BibRef

Wang, Q.[Qian], Jin, S.[Shangtai], Hou, Z.S.[Zhong-Sheng],
Data-Driven Event-Triggered Cooperative Control for Multiple Subway Trains With Switching Topologies,
ITS(23), No. 9, September 2022, pp. 14702-14711.
IEEE DOI 2209
Topology, Switches, Public transportation, Control systems, Resistance, Data models, Aerodynamics, multiple subway trains BibRef

Choi, J.S.[Jun-Sung], Marojevic, V.[Vuk], Dietrich, C.B.[Carl B.], Ahn, S.[Seungyoung],
DSRC-Enabled Train Safety Communication System at Unmanned Crossings,
ITS(23), No. 10, October 2022, pp. 18210-18223.
IEEE DOI 2210
Safety, Communication systems, Receivers, Vehicles, Long Term Evolution, Antenna measurements, Alarm systems, train-to-vehicle (T2V) communication BibRef

Wang, X.[Xi], Su, S.[Shuai], Cao, Y.[Yuan], Wang, X.L.[Xiao-Liang],
Robust Control for Dynamic Train Regulation in Fully Automatic Operation System Under Uncertain Wireless Transmissions,
ITS(23), No. 11, November 2022, pp. 20721-20734.
IEEE DOI 2212
Regulation, Wireless communication, Delays, Schedules, Uncertainty, Safety, Rails, Urban transit loop line, automatic train regulation, uncertain dropout probability BibRef

Chen, Q.J.[Qi-Jin], Zhou, Y.K.[Yu-Kun], Fang, B.[Bole], Zhang, Q.[Quan], Niu, X.J.[Xiao-Ji],
Experimental Study on the Potential of Vehicle's Attitude Response to Railway Track Irregularity in Precise Train Localization,
ITS(23), No. 11, November 2022, pp. 20452-20463.
IEEE DOI 2212
Location awareness, Position measurement, Rail transportation, Radar tracking, Rails, Wavelength measurement, Noise measurement, multisensory train positioning system BibRef

Gao, B.[Bing], Bu, B.[Bing], Wang, X.X.[Xiao-Xuan],
A Comprehensive Resilient Control Strategy for CBTC Systems Through Train-to-Train Communications Under Malicious Attacks,
ITS(23), No. 11, November 2022, pp. 21015-21033.
IEEE DOI 2212
Observers, Rails, Control systems, Wireless communication, Topology, Predictive models, Intelligent transportation systems, distributed leader observer BibRef

Wang, Q.[Qian], Jin, S.[Shangtai], Hou, Z.S.[Zhong-Sheng],
Compensation-Based Cooperative MFAILC for Multiple Subway Trains Under Asynchronous Data Dropouts,
ITS(23), No. 12, December 2022, pp. 23750-23760.
IEEE DOI 2212
Public transportation, Data models, Resistance, Iterative methods, Control systems, Iterative learning control, Urban areas, cooperative control BibRef

Xu, J.P.[Jian-Peng], Ai, B.[Bo], Chen, L.Y.[Liang-Yu], Cui, Y.P.[Ya-Ping], Wang, N.[Ning],
Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks,
ITS(23), No. 12, December 2022, pp. 23797-23808.
IEEE DOI 2212
Resource management, Task analysis, Delays, Rail transportation, Computational modeling, Computational efficiency, Optimization, total computational cost BibRef

Cui, Y.P.[Ya-Ping], Shi, H.J.[Hong-Ji], Wang, R.[Ruyan], He, P.[Peng], Wu, D.P.[Da-Peng], Huang, X.Y.[Xin-Yun],
Multi-Agent Reinforcement Learning for Slicing Resource Allocation in Vehicular Networks,
ITS(25), No. 2, February 2024, pp. 2005-2016.
IEEE DOI 2402
Resource management, Network slicing, Costs, Computational modeling, Task analysis, Quality of service, Delays, resource allocation BibRef

Chen, J.[Jinqu], Liu, J.[Jie], Du, B.[Bo], Peng, Q.Y.[Qi-Yuan], Yin, Y.[Yong],
Resilience Assessment of an Urban Rail Transit Network Under Short-Term Operational Disturbances,
ITS(23), No. 12, December 2022, pp. 24841-24853.
IEEE DOI 2212
Resilience, Network topology, Topology, Rails, Mathematical models, Measurement, Computational modeling, Urban rail transit, time-dependent performance indicator BibRef

Huang, D.Q.[De-Qing], Yi, S.[Sha], Li, X.F.[Xue-Fang],
Accurate Parking Control for Urban Rail Trains via Robust Adaptive Backstepping Approach,
ITS(23), No. 11, November 2022, pp. 21790-21798.
IEEE DOI 2212
Resistance, Rails, Brakes, Adaptive systems, Adaptation models, Safety, Control systems, Automatic train operation, precise parking, braking system BibRef

Zhang, L.L.[Liang-Liang], Hua, X.[Xiukun],
Evaluating efficiency of railway transportation based on cross-efficiency evaluation method and relative entropy evaluation method in China,
IET-ITS(17), No. 12, 2023, pp. 2410-2418.
DOI Link 2312
railway transportation, efficiency evaluation, cross-efficiency evaluation method, relative entropy evaluation method BibRef

Duan, J.J.[Jia-Jun], Wei, X.[Xiong], Zhou, J.H.[Jia-Hua], Wang, T.T.[Ting-Ting], Ge, X.[Xuechao], Wang, Z.[Zhi],
Latency Compensation and Prediction for Wireless Train to Ground Communication Network Based on Hybrid LSTM Model,
ITS(25), No. 2, February 2024, pp. 1637-1645.
IEEE DOI 2402
Predictive models, Logic gates, Wireless communication, Costs, Support vector machines, Steady-state, Rails, machine learning BibRef

Wang, Y.[Yu], Zhang, W.F.[Wen-Fang], Wang, X.M.[Xiao-Min], Khan, M.K.[Muhammad Khurram], Fan, P.Z.[Ping-Zhi],
Security Enhanced Authentication Protocol for Space-Ground Integrated Railway Networks,
ITS(25), No. 1, January 2024, pp. 370-385.
IEEE DOI 2402
Authentication, Rail transportation, Handover, Security, Heterogeneous networks, Satellites, Wireless communication, BAN Logic BibRef

Yue, P.[Peng], Jin, Y.C.[Yao-Chu], Dai, X.[Xuewu], Feng, Z.H.[Zhen-Hua], Cui, D.L.[Dong-Liang],
Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling,
ITS(25), No. 1, January 2024, pp. 478-490.
IEEE DOI 2402
Delays, Real-time systems, Dispatching, Rail transportation, Metaheuristics, Learning systems, Task analysis, real-time rescheduling BibRef

Yue, P.[Peng], Jin, Y.C.[Yao-Chu], Dai, X.[Xuewu], Feng, Z.H.[Zhen-Hua], Cui, D.L.[Dong-Liang],
Reinforcement Learning for Scalable Train Timetable Rescheduling With Graph Representation,
ITS(25), No. 7, July 2024, pp. 6472-6485.
IEEE DOI 2407
Delays, Scalability, Computational modeling, Training, Rail transportation, Graph neural networks, Feature extraction, graph neural network BibRef

Wang, X.W.[Xiao-Wen], Feng, X.Y.[Xiao-Yun], Sun, P.F.[Peng-Fei], Wang, Q.Y.[Qing-Yuan],
Two-objective train operation optimization based on eco-driving and timetabling,
IET-ITS(18), No. 2, 2024, pp. 377-392.
DOI Link 2402
energy conservation, energy consumption, intelligent transportation systems, management and control, transportation BibRef

Lai, Q.Y.[Qing-Ying], Liu, J.[Jun], Wang, Y.H.[Yi-Hui], Xu, H.Z.[Hong-Ze], Guo, S.D.[Shu-Dong], Ju, M.[Miaoyu],
Energy-efficient operation of medium-speed maglev through integrated traction and train control,
IET-ITS(18), No. 2, 2024, pp. 409-431.
DOI Link 2402
energy-efficient, linear synchronous motor, medium-speed maglev, train speed profile optimization BibRef

Zhu, L.[Li], Chen, C.[Cheng], Wang, H.W.[Hong-Wei], Yu, F.R.[F. Richard], Tang, T.[Tao],
Machine Learning in Urban Rail Transit Systems: A Survey,
ITS(25), No. 3, March 2024, pp. 2182-2207.
IEEE DOI 2405
Surveys, Optimization, Rails, Transportation, Task analysis, Rail transportation, Big Data, Urban rail transit systems (URTS) BibRef

Menéndez, M.N.[Martín Nicolás], Germino, S.[Santiago], Díaz-Charris, L.D.[Luis David], Lutenberg, A.[Ariel],
Automatic Railway Signaling Generation for Railways Systems Described on Railway Markup Language (railML),
ITS(25), No. 3, March 2024, pp. 2331-2341.
IEEE DOI 2405
Rail transportation, RNA, Layout, Standards, Topology, Rails, Industries, Railway signaling, railway infrastructure, RailML, directed graph, shortest path BibRef

Zhang, W.[Wenlu], Li, W.[Wei], Fan, Y.[Yue], Cao, Y.[Yue],
Influence of Cyclic Pneumatic Brake on the Longitudinal Dynamics of Heavy-Haul Combined Trains,
ITS(25), No. 3, March 2024, pp. 2545-2557.
IEEE DOI 2405
Brakes, Dynamics, Force, Vehicle dynamics, Rail transportation, Couplers, Mathematical models, Longitudinal dynamics, differentiated collaborative control BibRef

Yang, S.[Songpo], Xiong, J.[Jie], Cao, D.[Danni], Wu, J.J.[Jian-Jun],
A Coordination Optimization for Train Operation and Energy Infrastructure Control in a Metro System,
ITS(25), No. 3, March 2024, pp. 2656-2668.
IEEE DOI 2405
Power supplies, Substations, Optimization, Trajectory optimization, Mathematical models, Energy efficiency, Supercapacitors, hybrid algorithm BibRef

Diab, I.[Ibrahim], Mouli, G.R.C.[Gautham Ram Chandra], Bauer, P.[Pavol],
A Traction Substation State Estimator for Integrating Smart Loads in Transportation Grids Without the Need for Additional Sensors,
ITS(25), No. 3, March 2024, pp. 2669-2680.
IEEE DOI 2405
Substations, Peer-to-peer computing, Impedance, Power system management, Wireless communication, transportation BibRef

Yang, W.J.[Wen-Jing], Wang, J.F.[Jun-Feng], Zhang, Z.[Ziqun], Wang, Q.[Qian],
A Method and Analysis of Improving the Transport Capacity of Mixed Running Line Based on Incremental Adaptive Dynamic Coding of Track Circuit,
ITS(25), No. 6, June 2024, pp. 4908-4917.
IEEE DOI 2406
Rail transportation, Control systems, Transportation, Organizations, Encoding, Target tracking, Meters, transport capacity BibRef

Ahmad, E.[Ehsan], He, Y.[Yijuan], Luo, Z.W.[Zheng-Wei], Lv, J.[Jidong],
A Hybrid Long Short-Term Memory and Kalman Filter Model for Train Trajectory Prediction,
ITS(25), No. 7, July 2024, pp. 7125-7139.
IEEE DOI 2407
Trajectory, Predictive models, Data models, Data mining, Hidden Markov models, Feature extraction, Rail transportation, train separation BibRef

Luo, X.L.[Xiao-Lin], Tang, T.[Tao], Chai, M.[Ming], Liu, H.J.[Hong-Jie],
A Hierarchical MPC Approach for Arriving-Phase Operation of Virtually Coupled Train Set,
ITS(25), No. 7, July 2024, pp. 7237-7249.
IEEE DOI 2407
Trajectory, Measurement errors, Safety, Couplings, Rails, Predictive control, Observers, Virtual coupling, model predictive control BibRef

Zhang, Z.X.[Zi-Xuan], Bai, W.Q.[Wei-Qi], Song, H.F.[Hai-Feng], Dong, H.R.[Hai-Rong],
A Soft-Switching Automatic Control Approach to Cooperative Operation of Multiple Trains With Human Intervention,
ITS(25), No. 9, September 2024, pp. 11906-11917.
IEEE DOI 2409
Safety, Cooperative systems, Switches, Potential energy, Real-time systems, Rail transportation, Handover, automatic train control BibRef

Chen, L.S.[Long-Sheng], Yang, H.[Hui], Jin, F.Y.[Fei-Yu], Ren, Y.[Yong],
Distributed Global Composite Learning Cooperative Control of Virtually Coupled Heavy Haul Train Formations,
ITS(25), No. 9, September 2024, pp. 11200-11213.
IEEE DOI 2409
Artificial neural networks, Couplings, Force, Vehicle dynamics, Rail transportation, Couplers, Protocols, Heavy haul train, cooperative control BibRef

Zheng, J.[Jun], Nie, S.[Sanchun], Jing, H.[Hailian], He, Y.C.[Yu-Chen], Li, M.M.[Ming-Ming], Ma, Y.D.[Ya-Dong], Ding, Z.T.[Zhen-Tao],
Potential and Electro-Mechanical Coupling Analysis of a Novel HTS Maglev System Employing Double-Sided Homopolar Linear Synchronous Motor,
ITS(25), No. 10, October 2024, pp. 13573-13583.
IEEE DOI 2410
High-temperature superconductors, Propulsion, Motors, Windings, Suspensions (mechanical systems), Force, Air gaps, lateral dynamic analysis BibRef

Song, H.F.[Hai-Feng], Li, L.[Lulu], Li, Y.[Ye], Tan, L.G.[Li-Gang], Dong, H.R.[Hai-Rong],
Functional Safety and Performance Analysis of Autonomous Route Management for Autonomous Train Control System,
ITS(25), No. 10, October 2024, pp. 13291-13304.
IEEE DOI 2410
Safety, Resource management, Rail transportation, Delays, Control systems, Analytical models, Performance analysis, performance analysis BibRef

Kang, J.J.[Jia-Jun], Cui, D.L.[Dong-Liang], Dai, X.[Xuewu], Zhao, H.[Hui], Hu, Y.X.[Yu-Xiang], Chai, T.Y.[Tian-You],
State-Space Modeling and Feedback Control for Real-Time Automatic Train Timetable Rescheduling of Intercity HSRs,
ITS(25), No. 10, October 2024, pp. 14411-14425.
IEEE DOI 2410
Delays, Real-time systems, Rail transportation, Public transportation, Optimization, Urban areas, automatic rescheduling controller BibRef

Wang, Z.[Zhikai], Tang, T.[Tao], Su, S.[Shuai], d'Ariano, A.[Andrea], Bosi, T.[Tommaso], Su, B.[Boyi],
Optimizing Train-to-Train Rescue and Rescheduling in Metro Systems,
ITS(25), No. 10, October 2024, pp. 14100-14114.
IEEE DOI 2410
Electric breakdown, Rail transportation, Computational modeling, Perturbation methods, Layout, Delays, Transportation, train-to-train rescue BibRef

Hubbard, P.[Peter], Harrison, T.[Tim], Ward, C.[Christopher], Abduraxman, B.[Bilal],
Creep slope estimation for assessing adhesion in the wheel/rail contact,
IET-ITS(18), No. 10, 2024, pp. 1931-1942.
DOI Link 2411
condition monitoring, friction, rail transportation, slip, vehicle dynamics and control BibRef

Ma, L.[Liang], Yang, K.[Kun], Guo, J.[Jin], Bao, Y.[Yuanli], Wu, W.Q.[Wen-Qing],
Optimization for route selection under the integration of dispatching and control at the railway station: A 0-1 programming model and a two-stage solution algorithm,
IET-ITS(18), No. 11, 2024, pp. 2124-2151.
DOI Link 2411
genetic algorithms, integer programming, mathematical programming, optimisation, rail transportation, management and control BibRef

Ragala, Z.[Zaynabe], Retbi, A.[Asmaa], Bennani, S.[Samir],
MTTR Prediction of railway rolling stock using regression algorithms,
ISCV22(1-6)
IEEE DOI 2208
Rails, Knowledge based systems, Maintenance engineering, Predictive models, Prediction algorithms, Rail transportation, Lasso Regression BibRef

Papp, A.[Adam], Wiesmeyr, C.[Christoph], Litzenberger, M.[Martin], Garn, H.[Heinrich], Kropatsch, W.[Walter],
Train Detection and Tracking in Optical Time Domain Reflectometry (OTDR) Signals,
GCPR16(320-331).
Springer DOI 1611
BibRef

Zhang, Y.Z., Yan, Y.S., Hu, Z.A.,
Optimization model of number of scheduled freight train formation cars,
IASP11(400-404).
IEEE DOI 1112
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
High-Speed Train Controls .

Last update:Nov 26, 2024 at 16:40:19